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AFL++ is an advanced fork of AFL that runs multi-core campaigns, supports diverse mutations, and targets large C/C++ codebases with stable tooling via Docker or host builds.

Atheris is a coverage-guided Python fuzzer built on libFuzzer for fuzzing pure Python code and C extensions, with AddressSanitizer support to catch memory corruption and an easy harness setup for command-line fuzz runs.

Atheris is a coverage-guided Python fuzzer built on libFuzzer for fuzzing pure Python code and C extensions, with AddressSanitizer support to catch memory corruption and an easy harness setup for command-line fuzz runs.

This expert skill specializes in generating comprehensive, structured documentation for microservices and containerized architectures using the C4 Model. It covers system boundaries, container definitions, technology stacks, inter-container communication protocols, API specifications (OpenAPI/Swagger), and deployment infrastructure (e.g., Docker, Kubernetes). Ideal for documenting complex system deployments and mapping architectural relationships.

This guide provides comprehensive instructions for deploying applications that interact with Clay—such as webhook receivers, enrichment processors, or CRM sync services—to major production infrastructure platforms (Vercel, Google Cloud Run, or Docker). It covers environment configuration, secret management, and setting up secure HTTPS endpoints for robust production deployment.

A comprehensive guide for deploying applications authenticated with Clerk to various major hosting platforms, including Vercel, Netlify, Railway, and custom Docker setups. It details environment variable setup, domain configuration, webhook handling, and provides post-deployment verification scripts to ensure a robust production environment.

Provides comprehensive instructions for deploying Deepgram transcription services into various production environments. This guide covers building production-ready Docker images, configuring Docker Compose, setting up robust Kubernetes manifests (including HPA and secrets), and implementing serverless handlers for platforms like AWS Lambda. Essential for scaling Deepgram services reliably and securely in the cloud.

This skill provides a comprehensive and isolated setup for managing Deepgram API integrations across different deployment stages (Development, Staging, Production). It includes typed configuration management, a client factory pattern, and Docker Compose profiles, ensuring that each environment uses specific credentials, models, and feature settings (like diarization or PII redaction) without conflict. Ideal for robust, multi-stage application deployment.

A comprehensive guide to deployment patterns and strategies for modern cloud environments. Covers techniques like Blue/Green, Canary, and Rolling Deployments, ensuring zero-downtime upgrades when deploying to Kubernetes, Docker, or various cloud providers. Includes best practices for health checks, logging, and rollback planning.

Blueprint for designing GitHub Actions-powered CI/CD pipelines that leverage Docker multi-stage builds, Helm chart environments, ArgoCD GitOps, Kubernetes manifests, and monitoring best practices to keep deployments reliable across teams.

This skill defines a senior engineer specializing in the entire software development lifecycle (SDLC). It covers building robust CI/CD pipelines (e.g., GitHub Actions), containerizing applications with Docker, and managing infrastructure using Infrastructure as Code (IaC) tools like Terraform or Pulumi. Key areas include Kubernetes deployment (GitOps), cloud platform configuration (AWS/GCP/Azure), release automation, and incident response planning.

Provides practical advice on Dockerfiles, CI/CD pipelines, deployment strategies, infrastructure-as-code, and observability, helping teams containerize apps, configure GitHub Actions, plan production rollouts, and keep deployments secure and observable.